Abstract: An information interchange unit, a storage unit, and a display controller are configured such that, after a image selection unit selects a first image and a second image, the information interchange unit interchanges, automatically, first image information of the first image with second image information of the second image, or interchanges, automatically, first position information of the first image with second position information of the second image, the storage unit stores and correlates the first image information and the second position information, and stores and correlates the second image information and the first position information, and the display controller controls, automatically, a display to display the one image based on the first image information and the second position information, and the another image based on the second image information and the first position information.

Abstract: A method for viewing of a three dimensional image of a scene with a monocular device on one eye for viewing a first two-dimensional image of the scene and providing a second display for viewing a second two-dimensional image of the scene in a stereo image pair with the other eye. Using a camera to provide an image of the second display to determine the position of the second display relative to the first display. Adjusting the alignment of the first two-dimensional image in correspondence to the determined position of the second display relative to the first display, whereby the viewer perceives a three dimensional image of the scene and one or more other viewers that are not wearing monocular devices can view the second display with both eyes so that they can perceive a two-dimensional image of the scene.

Abstract: A portable terminal is configured to recognize an image such as a hand shape. The portable terminal includes a motion detection unit that includes a trainer capable of generating uniform training image data to collectively generate a plurality of images of a desired region obtained from an original image in an identical posture and an identical size, and performing a training process to prevent a feature point from being generated in a portion where detection is unnecessary in the generated training image data, and a detector capable of detecting a rotated object from input data, after the training process.

Abstract: An image of the iris contained in an image of an eye is accurately specified. An image of the iris contained in a digital image (P) of an eye is accurately specified. In view of low-intensity pixels of the digital image (P) of the eye, and high-intensity pixels having a predetermined relationship with the low-intensity pixels, a reference pixel (PX0) that defines the center of the pupil is determined. Thereby, the center of the pupil can be specified more accurately when compared to the case where, for example, it is determined only from the low-intensity pixels. Therefore, the accuracy of the process to specify the iris image on the basis of the reference pixel is improved, and as a result, the iris image can be accurately specified.

Abstract: A position estimation device includes: a mathematical expression model processing unit that calculates a position of a mobile object, a condition quantity indicating a moving condition of the mobile object and an error in the condition quantity through filtering processing executed by using a probability model based upon an attitude information and a positioning information of the mobile object having been obtained from sensors and a specific mathematical expression model among a plurality of mathematical expression models expressing behavior of the mobile object; a threshold calculation unit that calculates a threshold candidate value for a threshold value to be used as a criterion when selecting the specific mathematical expression model, by using the error; a threshold value determining unit that determines the threshold value based upon the threshold candidate value; and a mathematical expression model selection unit that selects the specific mathematical expression model based upon the threshold value.

Abstract: The Hough transform for circles can be implemented in a manner that avoids random access to the Hough accumulator array by successively identifying center candidates in each line of the image based on edge pixels in corresponding lines voting on the line of interest.

Abstract: The image signature extraction device includes an extraction unit and a generation unit. The extraction unit extracts region features from respective sub-regions in an image in accordance with a plurality of pairs of sub-regions in the image, the pairs of sub-regions including at least one pair of sub-regions in which both a combination of shapes of two sub-regions of the pair and a relative position between the two sub-regions of the pair differ from those of at least one of other pairs of sub-regions. The generation unit generates, based on the extracted region features of the respective sub-regions, an image signature to be used for identifying the image.

Abstract: An automated method for cueing a high resolution video camera to a mobile object involves first detecting the presence of an object by a wide-area surveillance asset such as a radar and using the radar's positional information to cue the video camera iteratively, while updating the positional information each time. Then, a video analytics algorithm detects the object and generates more accurate positional and rate information on the object, which is then used to cue the video camera into a higher resolution setting for classifying/identifying the object. Once the object is identified, the positional and rate information is updated and the updated information is used to further cue the video camera into a higher resolution setting for recording a video clip of the moving object while the video camera is dynamically steered.

Abstract: A method and system for detecting floating objects in maritime video is disclosed. The horizon is detected within the video. Modeling of the sky and water is performed on the video. Objects are detected that are not water and sky within the video.

Abstract: An interactive system capable of improving image processing includes a reference device, a processing module and a controller. The reference device is used for transmitting and/or reflecting light signals within a predetermined spectrum. The processing module includes an image sensor, an estimation unit and a transmission interface. The image sensor is used for sensing an image so as to generate pixel signals; the estimation unit is used for determining static parameters of at least one image object according to the pixel signals; and the transmission interface is used for serially outputting the static parameters of the at least one image object. The controller is used for controlling operation of the interactive system according to the static parameters of the at least one image object outputted from the transmission interface. The image sensor, the estimation unit, and the transmission interface can all be formed on the same substrate.

Abstract: An image examination apparatus includes a generation unit configured to generate an examination image for examining a read image; an extraction unit configured to extract, from the examination image, multiple reference points used for alignment between the examination and read images; a calculation unit configured to calculate information on misalignment between positions of the reference points and positions corresponding respectively to the reference points in the read image; an excluding unit configured to exclude a reference point from the multiple reference points, based on the information on misalignment; an alignment unit configured to perform alignment between the examination and read images based on the reference points other than the excluded reference point; and an examination unit configured to perform examination for determining whether there is a defect in the read image on the basis of a difference between the read and examination images.

Abstract: In one implementation, a method may comprise: determining a topological representation of an indoor portion of a building based, at least in part, on positions or number of lines in an image of the indoor portion of the building; and comparing the topological representation to one or more stored topological representations, for example in a digital map of the building, to determine a potential position of the indoor portion of the building.

Abstract: A sensor unit is installed to a target object and detects a given physical amount. A data acquisition unit acquires output data of the sensor unit in a period including a first period for which a real value of a value of m time integrals of the physical amount is known and a second period that is a target for motion analysis. An error time function estimating unit performs m time integrals of the output data of the sensor unit and estimates a time function of an error of a value of the physical amount detected by the sensor unit with respect to the real value of the value of the physical amount detected by the sensor unit based on a difference between a value of m time integrals of the output data and the real value for the first period.

Abstract: An information processing apparatus may include a detecting unit to detect a pointing object in a captured image, and a generation unit to generate pointing information based on detection of the pointing object by the detecting unit. The pointing information may indicate a position of the pointing object determined using a pointable range set based on a user in the captured image. The apparatus may further include a communication unit to transmit the pointing information to an external apparatus.

Abstract: There is provided an image processing device including: a data storage unit that stores object identification data for identifying an object operable by a user and feature data indicating a feature of appearance of each object; an environment map storage unit that stores an environment map representing a position of one or more objects existing in a real space and generated based on an input image obtained by imaging the real space using an imaging device and the feature data stored in the data storage unit; and a selecting unit that selects at least one object recognized as being operable based on the object identification data, out of the objects included in the environment map stored in the environment map storage unit, as a candidate object being a possible operation target by a user.

Abstract: System, apparatus, and method embodiments are provided for detecting the presence of a pedestrian in an image. In an embodiment, a method for determining whether a person is present in an image includes receiving a plurality of images, wherein each image comprises a plurality of pixels and determining a modified center symmetric local binary pattern (MS-LBP) for the plurality of pixels for each image, wherein the MS-LBP is calculated on a gradient magnitude map without using an interpolation process, and wherein a value for each pixel is a gradient magnitude.

Abstract: An imaging system (100) includes a housing (101). A control circuit (224) disposed within the housing (101). A projector (102) is disposed within the housing (101) and is operable with the control circuit (224). The projector (102) is configured to create images (104) with an image cone (106). A gesture recognition device (103) is disposed within the housing (101) and is operable with the control circuit (224). The gesture recognition device (103) is configured to detect gestures (107) in a gesture recognition cone (108). The projector (102) and the gesture recognition device (103) can be arranged within the housing (101) such that the image cone (106) and the gesture recognition cone (108) exit the housing (101) without overlap.

Abstract: Multiple-object speed tracking apparatuses are disclosed, including a camera configured to capture a set of images of a monitored area (e.g., a roadway). The camera's longitudinal axis may be positioned at any viewing angle relative to a longitudinal axis of a roadway such that at least two moving objects moving on the roadway are included in a set of high or low resolution images. A computer system is configured to analyze the set of images to detect the two moving objects and substantially simultaneously determine a calculated rate of speed of at least one of the two moving objects. The computer system also provides an on-site speed calibration process for transforming locations of an image among the set of images into real-world coordinates by considering both perspective and scale of the image. An apparatus mount for at least one of either the camera or the computer system is also disclosed.

Abstract: Methods and apparatus are disclosed related to classifying illuminated objects. A computing device can receive a sequence of images including first and second images. The first image can be of an environment of a vehicle taken at a first time. The second image can be of the environment of the vehicle taken at a second time. The vehicle can include a light source that illuminates a portion of the environment. The first and second times can differ. The computing device can detect an object having a first size and a first brightness in the first image. The computing device can detect the object having a second size and a second brightness in the second image. The computing device can classify the object based on a brightness difference between the first brightness and second brightness and a size difference between the first size and second size.

Abstract: From a sequence of images captured by an image pickup unit, images necessary for measuring placement information regarding markers and/or a sensor are automatically determined and obtained. To this end, using position and orientation information regarding the image pickup unit at the time the image pickup unit has captured an obtained image and placement information regarding detected markers, whether to use the captured image corresponding to the position and orientation is determined. Using the captured image determined to be used, the marker placement information, placement information regarding a measurement target, or the position and orientation of the image pickup unit serving as an unknown parameter is obtained so as to minimize the error between the measured image coordinates and theoretical image coordinates of each marker, which are estimated on the basis of a rough value of the parameter.

Abstract: A method for maintaining north comprising the steps of locating north with a north finding gyroscope, tying north to a feature in a scene, correlating the feature to a target in the field of regard of a plurality of cameras, and determining a north factor and translating the north factor into a target vector relative to north.

Abstract: A stereo matching device used in a stereoscopic display system for determining a concave block and a convex block is provided. The stereo matching device comprises a receiving module for receiving a first and a second view-angle frames, a computation module, a feature extraction module and an estimation module. The computation module generates a disparity map having disparity entries respectively corresponding to blocks of the first view-angle frame. The feature extraction module generates feature maps each having feature entries respectively corresponding to the blocks. The estimation module comprises a reliability computation unit for computing a feature reliability of each of the blocks based on the feature maps and a comparator unit for filtering out unqualified blocks according to at least one reliability threshold to generate a plurality of candidate blocks and further determining the concave block and the convex block.

Abstract: An arrangement and methods for firing a fire arm. The fire arm includes a determining unit configured to determine a movement of an aim point for the fire arm relative to a target. A processing unit is configured to determine a target point for the aim point based on the movement of the aim point relative to the target and to predict the future movement of the aim point. A firing unit is configured to fire the fire arm when the aim point is predicted to be within a tolerance of the target point.

Abstract: An information processing apparatus that executes information display processing is disclosed. The apparatus includes: a display unit that executes information display; and a data processing unit that executes a control of the information display of the display unit and data processing based on a user input. The data processing unit displays an image browsing screen, which corresponds to image data stored in a storage unit, on the display unit and executes display of a map at the position, which corresponds to position information included in attribute information of a selected image, on the basis of a user's input of image selection information and map display request.

Abstract: Disclosed are methods and systems for detecting one or more vehicles in video captured from a deployed video camera directed at a parking region. According to one exemplary embodiment, disclosed is a method of training a deployed classifier associated with the video camera, where a generic classifier is initially used to obtain high confidence training samples from the video camera, the high confidence training samples subsequently used to train the deployed classifier.

Abstract: Hand pointing has been an intuitive gesture for human interaction with computers. A hand pointing estimation system is provided, based on two regular cameras, which includes hand region detection, hand finger estimation, two views' feature detection, and 3D pointing direction estimation. The technique may employ a polar coordinate system to represent the hand region, and tests show a good result in terms of the robustness to hand orientation variation. To estimate the pointing direction, Active Appearance Models are employed to detect and track, e.g., 14 feature points along the hand contour from a top view and a side view. Combining two views of the hand features, the 3D pointing direction is estimated.

Abstract: Disclosed are a hand positioning method and a human-computer interaction system. The method comprises a step of continuously capturing a current image so as to obtain a sequence of video images; a step of extracting a foreground image from each of the captured video images, and then carrying out binary processing so as to obtain a binary foreground image; a step of obtaining a vertex set of a minimum convex hull of the binary foreground image, and then creating areas of concern serving as candidate hand areas; and a step of extracting hand imaging features from the respective created areas of concern, and then determining a hand area from the candidate hand areas by carrying out pattern recognition based on the extracted hand imaging features.

Abstract: In one implementation, a method includes detecting, using a processor, user input through a camera lens. The method further includes determining, using the processor, that an identity of a user, selected from identities of at least two users, is associated with the user input. The method also includes tracking, using the processor, a local interaction between the at least two users based on at least the identity, the user input, and stored rules that govern the local interaction. The tracking can include determining whether the user has complied with the stored rules that govern the local interaction. Furthermore, the local interaction can include a multiplayer game.

Abstract: A method of using stereo vision to interface with a computer is provided. The method includes capturing a stereo image, and processing the stereo image to determine position information of an object in the stereo image. The object is controlled by a user. The method also includes communicating the position information to the computer to allow the user to interact with a computer application.

Abstract: Methods, systems, and computer program products are provided for determining camera parameters and three dimensional locations of features from a plurality of images of a geographic area. These include, detecting features in the plurality of images where each of the images cover at least a portion of the geographic area, comparing the detected features between respective ones of the images to determine a plurality of matched features, selecting a subset of the plurality of matched features, and determining the camera parameters and the three dimensional positions of one or more of the detected features using the selected subset. The respective matched features are selected depending on a quantity of other matched features in proximity to the respective matched features.

Abstract: A first simulated inspection is conducted to provide a first waveform data set associated with the at least one irregularity parameter. The first simulated inspection is conducted using a first evaluation setting. A first image is produced based on the first waveform set, and it is determined whether a quality of the first image satisfies a predetermined threshold.

Abstract: Detecting a consistency of image components is disclosed. A first constraint associated with a possible convergence area of a first component of an image is received. A second constraint associated with a possible convergence area of a second component of the image is received. The first constraint and the second constraint are used to provide a result associated with whether the first component and the second component are consistent.

Abstract: The invention relates to a method and system for remotely determining an absolute azimuth of a target point (B) by ground means, via the creation of an image bank georeferenced in the absolute azimuth only from a first point (P1) and the use of this image bank as an azimuth reference from a second point (P2) having a visual environment at least in part the same as the visual environment of the first point (P1).

Abstract: A learning method of detectors used to detect a target object, comprises: a selection step of selecting a plurality of specific regions from a given three-dimensional model of the target object; a learning step of learning detectors used to detect the specific regions selected in the selection step; an evaluation step of executing recognition processing of positions and orientations of predetermined regions of the plurality of specific regions by the detectors learned in the learning step; and a normalization step of setting vote weights for outputs of the detectors according to recognition accuracies of results of the recognition processing in the evaluation step.

Abstract: Methods and apparatus are described for monocular 3D human pose estimation and tracking, which are able to recover poses of people in realistic street conditions captured using a monocular, potentially moving camera. Embodiments of the present invention provide a three-stage process involving estimating (10, 60, 110) a 3D pose of each of the multiple objects using an output of 2D tracking-by detection (50) and 2D viewpoint estimation (46). The present invention provides a sound Bayesian formulation to address the above problems. The present invention can provide articulated 3D tracking in realistic street conditions. The present invention provides methods and apparatus for people detection and 2D pose estimation combined with a dynamic motion prior. The present invention provides not only 2D pose estimation for people in side views, it goes beyond this by estimating poses in 3D from multiple viewpoints. The estimation of poses is done in monocular images, and does not require stereo images.

Abstract: An augmented reality environment allows interaction between virtual and real objects and enhances an unstructured real-world environment. An object datastore comprising attributes of an object within the environment may be built and/or maintained from sources including manufacturers, retailers, shippers, and users. This object datastore may be local, cloud based, or a combination thereof. Applications may interrogate the object datastore to provide user functionality.

Abstract: An image processing apparatus generates a main image as an image satisfying a main composition condition indicating a condition regarding a predetermined composition. The image processing apparatus includes: a condition determining unit that determines whether a captured image obtained through imaging of an imaging unit satisfies a preliminary composition condition which is based on the main composition condition; a processing unit that executes a process of obtaining a preliminary image as an image satisfying the preliminary composition condition in accordance with the determination result of the condition determining unit; and an image processing unit that generates the main image by processing the preliminary image obtained through the process based on the main composition condition.

Abstract: Biometric matching technology, in which a watch list is managed, multiple images of a potential suspect are accessed, and parallel pre-processing of the multiple images is controlled. Based on the pre-processing, an image of the potential suspect to use in matching against the watch list is determined and the determined image is used to search sorted biometric data included in the watch list. A subset of persons from the watch list is identified based on the search and parallel analysis of the determined image of the potential suspect against detailed biometric data associated with the subset of persons in the watch list is controlled. Based on the parallel analysis, it is determined whether the potential suspect matches a person in the watch list and a result is outputted based on the determination.

Abstract: Systems and methods for determining an optical axis vector of an eye in a three-axis coordinate system. An ellipse equation defining an iris disc corresponding to the eye, is determined on an XY plane of the three-axis coordinate system. A set of equations is derived based on the ellipse equation corresponding to a plurality of edge points of the iris disc in the three-axis coordinate system. An estimated iris diameter is iteratively calculated until a difference between the estimated iris diameter and a predetermined iris diameter is less than a threshold. The iterative calculation includes calculating a composite optical axis vector of the eye in the three-axis coordinate system based on solutions for the iris diameter.

Abstract: Methods and systems are described for determining eye position and/or for determining eye movement based on glints. An exemplary computer-implemented method involves: (a) causing a camera that is attached to a head-mounted display (HMD) to record a video of the eye; (b) while the video of the eye is being recorded, causing a plurality of light sources that are attached to the HMD and generally directed towards the eye to switch on and off according to a predetermined pattern, wherein the predetermined pattern is such that at least two of the light sources are switched on at any given time while the video of the eye is being recorded; (c) analyzing the video of the eye to detect controlled glints that correspond to the plurality of light sources; and (d) determining a measure of eye position based on the controlled glints.

Abstract: The invention provides a method and apparatus for isolating individual target cells. The apparatus includes a body structure comprising a main channel, a collection channel, and a waste channel fluidly coupled at a first fluid junction. A plurality of trapping channels intersect the collection channel, each trapping channel having a diameter at a location adjacent to the intersection of the trapping channel with the collection channel that is less than a diameter of an individual target cell. The apparatus also includes an imaging system configured to image individual target and non-target cells within the main channel, thereby producing imaging data; a processor configured to perform real-time, multivariate analyzes of the imaging data; and a directing system configured to direct the individual target cells. A pressure source is in fluid communication with one or more of the collection channel, the waste channel, the first side channel, and the second side channel.

Abstract: Vector-based images and documents, such as those written in SVG and Adobe Flash, can be converted into equivalent bitmap or other non-vector-based image by parsing the vector-based image to detect objects in the vector-based code. For each detected object, a separate bitmap of the object is created and information about where that image lies on the z-axis is retained. A separate bitmap image is created for each object, and the separate bitmap images are layered on top of one another, which is to say ordered along the z-axis in accordance with their z-axis coordinates. Animation of an image can be implemented by selectively rendering different ones of the bitmap images as transparent.

Abstract: Mechanisms are provided for determining the physical location of a physical asset in a physical area. A plurality of physical assets are controlled to cause each physical asset to output a visual output pattern on visual output elements of the physical asset. An image of a target physical asset is captured that has the current state of the visual output elements. An identification of the target physical asset is determined based on the current state of the visual output elements. A physical location of the target physical asset is determined based on a physical location of the image capture device when the image was captured. Location data identifying the determined physical location of the target physical asset is stored in an asset database in association with configuration information for the physical asset.

Abstract: A system and method are provided that use point of gaze information to determine what portions of 3D media content are actually being viewed to enable a 3D media content viewing experience to be improved. Tracking eye movements of viewers to obtain such point of gaze information are used to control characteristics of the 3D media content during consumption of that media, and/or to improve or otherwise adjust or refine the 3D media content during creation thereof by a media content provider. Outputs may be generated to illustrate what in the 3D media content was viewed at incorrect depths. Such outputs may then be used in subsequent or offline analysis, e.g., by editors for media content providers when generating the 3D media itself, in order to gauge the 3D effects. A quality metric can be computed based on the point of gaze information, which can be used to analyze the interactions between viewers and the 3D media content being displayed.

Abstract: A method (and system) of processing image data in which a depth map is processed to derive a modified depth map by analyzing luminance and/or chrominance information in respect of the set of pixels of the image data. The depth map is modified using a function which correlates depth with pixel height in the pixelated image and which has a different correlation between depth and pixel height for different luminance and/or chrominance values.

Abstract: According to one embodiment, an image processing apparatus includes a difference calculation unit, an intensity calculation unit, and an enhancing unit. The difference calculation unit calculates, for each partial area of an input image, a difference between a depth value of a subject and a reference value representing a depth as a reference. The intensity calculation unit calculates for each partial area an intensity, which has a local maximum value when the difference is 0 and has a greater value as the absolute value of the difference is smaller. The enhancing unit enhances each partial area according to the intensity to generate an output image.

Abstract: An alignment system for permanently marking a workpiece with a marking device includes a camera, a display operatively connected to the camera and configured to generate an image as a function of camera input, a template having a marking area designation located in relation to the display such that the image is displayed against the marking area designation, and an adjustment table configured to allow controllable repositioning of the workpiece relative to the marking device.

Abstract: Motion picture scenes to be colorized/depth enhanced (2D?3D) are broken into separate elements, backgrounds/sets or motion/onscreen-action. Background and motion elements are combined into composite frame which becomes a visual reference database that includes data for all frame offsets used later for the computer controlled application of masks within a sequence of frames. Masks are applied to subsequent frames of motion objects based on various differentiating image processing methods, including automated mask fitting/reshaping. Colors and/or depths are automatically applied to masks throughout a scene from the composite background, translucent, motion objects.

Abstract: An accurate determination of an operation is possible. Data photographed by a video camera is read by an image reading unit, and an image of an operator is extracted from the data by an image extracting unit. As a result of such preparation, a virtual operation screen and an operation region are created based upon the extracted image of the operator. In a case of an adult operator, an operation region can be created in consideration with a length (position of sight line) or a length of an arm, and in a case of a child, since a length is lower and a length of an arm is shorter, an operation region can be set to match it.

Abstract: A captured image including a preferential calibration index arranged in an exclusive region in a first plane and a non-preferential calibration index arranged in a common region is obtained. First, the coordinate position of the preferential calibration index is detected, and then the coordinate position of the non-preferential calibration index is calculated based on the positional relationship with the detected preferential calibration index. A homography between a captured-image surface of the image surface and the first plane is calculated based on the actual coordinate positions and the calculated coordinate positions representing the coordinates of at least four points, and camera calibration is performed using the homography.